The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
On the estimation of transfer functions, regularizations and Gaussian processes—Revisited
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
System Identification: Theory for the User
Lennart Ljung, A. (1987) · Cited by 17,690
Gaussian Processes for Machine Learning
Rasmussen, C. E., & Williams, C. K. I. (2005) · doi:10.7551/mitpress/3206.001.0001 · Cited by 11,705
System identification—Theory for the user
Sinha, N. K. (1989) · Automatica · doi:10.1016/0005-1098(89)90019-8 · Cited by 9,184
Solutions of Ill-Posed Problems.
Bell, J. B., Tikhonov, A. N., & Arsenin, V. Y. (1978) · Mathematics of Computation · doi:10.2307/2006360 · Cited by 8,101
Bayes and Empirical Bayes Methods for Data Analysis
(2001) · Technometrics · doi:10.1198/tech.2001.s608 · Cited by 2,098
Bayes and Empirical Bayes Methods for Data Analysis.
Leonard, T., Carlin, B. P., & Louis, T. A. (1997) · Biometrics · doi:10.2307/2533126 · Cited by 788
System identification (2nd ed.): theory for the user
Lennart Ljung, A. (1999) · Prentice Hall PTR eBooks · Cited by 594
System identification toolbox for use with MATLAB
Lennart Ljung, A. (1988) · Cited by 482
A new kernel-based approach for linear system identification
Pillonetto, G., & De Nicolao, G. (2010) · Automatica · doi:10.1016/j.automatica.2009.10.031 · Cited by 479
Quantifying the error in estimated transfer functions with application to model order selection
Goodwin, G. C., Gevers, M., & Ninness, B. (1992) · IEEE Transactions on Automatic Control · doi:10.1109/9.148344 · Cited by 365
Prediction error identification of linear systems: A nonparametric Gaussian regression approach
Pillonetto, G., Chiuso, A., & De Nicolao, G. (2011) · Automatica · doi:10.1016/j.automatica.2010.11.004 · Cited by 224
Lennart Ljung, A., & Wahlberg, B. (1992) · Advances in Applied Probability · doi:10.1017/s0001867800047583 · Cited by 132
On the Estimation of Transfer Functions
Lennart Ljung, A. (1985) · Automatica · doi:10.1016/0005-1098(85)90042-1 · Cited by 118
Uniformly Improving the CramÉr-Rao Bound and Maximum-Likelihood Estimation
Eldar, Y. C. (2006) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2006.877648 · Cited by 71
Regularized estimation of sums of exponentials in spaces generated by stable spline kernels
Pillonetto, G., Chiuso, A., & Nicolao, G. D. (2010) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2010.5530862 · Cited by 52
Cited by
Kernel methods in system identification, machine learning and function estimation: A survey
Pillonetto, G., Dinuzzo, F., Chen, T., De Nicolao, G., & Ljung, L. (2014) · Automatica · doi:10.1016/j.automatica.2014.01.001 · Cited by 741
Self-citationOn asymptotic properties of hyperparameter estimators for kernel-based regularization methods
Mu, B., Chen, T., & Ljung, L. (2018) · Automatica · doi:10.1016/j.automatica.2018.04.035 · Cited by 80
Self-citationMu, B., Chen, T., & Ljung, L. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.09.130 · Cited by 32
Self-citationGray-box identification with regularized FIR models
Münker, T., Peter, T. J., & Nelles, O. (2018) · at - Automatisierungstechnik · doi:10.1515/auto-2018-0026 · Cited by 18
A new multiple kernel-based regularization method for identification of delay linear dynamic systems
Chen, X., Mao, Z., & Jia, R. (2020) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2020.103971 · Cited by 5
Metadata
- Authors
- Chen, T., Ohlsson, H., & Ljung, L.
- Venue
- Automatica
- Publisher
- Elsevier BV
- Published
- 2012-08
- Volume
- 48
- Issue
- 8
- Pages
- 1525-1535
- ISSN
- 0005-1098 (ISSN-L)
- OpenAlex
- W2161083632
- Cited by
- 451
- References
- 15
- FWCI
- 47.75
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
